A Report on the First International Workshop on Research Methods in Animal-Computer Interaction

Zamansky, Anna and Roshier, Amanda and Mancini, Clara and Collins, Emily C. and Hall, Carol and Grillaert, Katie and Morrison, Ann and North, Steve and Wirman, Hanna (2017) A Report on the First International Workshop on Research Methods in Animal-Computer Interaction. In: 35th Annual CHI Conference on Human Factors in Computing Systems: CHI 2017 - Explore, Innovate, Inspire, 6-11 May 2017, Denver, United States.

Abstract

Animal-Computer Interaction (ACI) is a new and quickly developing discipline, which is closely related to HCI and is making reference to some of its theoretical frameworks and research methodologies. The first edition of the Workshop on Research Methods in ACI (RM4ACI) was co-located with the Third International Conference on Animal-Computer Interaction, which took place in Milton-Keynes, UK in November 2016. This paper presents an overview of the workshop, including insights from discussions on some of the challenges faced by the ACI community as it works to develop ACI as a discipline, and on important opportunities for cross-fertilization between HCI and ACI that the HCI community could consider.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current - Academic Division - Digital Life Lab (7 Jul 2016 -)
Faculty/School / Institute/Centre: Current - Academic Division - Digital Life Lab (7 Jul 2016 -)
Date Deposited: 30 Sep 2019 02:33
Last Modified: 30 Sep 2019 07:19
Uncontrolled Keywords: animal-computer interaction; workshop summary; research methods
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080602 Computer-Human Interaction
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1145/3027063.3052759
URI: http://eprints.usq.edu.au/id/eprint/33664

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